Nikolai Matni - RankMe

218 papers A* 18A 6C 15Misc 3Journal 115Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison. CoRR David Snyder, Apurva Badithela, Nikolai Matni, George J. Pappas, Anirudha Majumdar, Masha Itkina, Haruki Nishimura
2026	J	`jnl`	On Globally Optimal Stochastic Policy Gradient Methods for Domain Randomized LQR Synthesis. CoRR Alex Nguyen-Le, Nikolai Matni
2026	J	`jnl`	Statistical Efficiency of Single- and Multi-step Models for Forecasting and Control. CoRR Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni
2025	A*	`conf`	ADMM-MCBF-LCA: A Layered Control Architecture for Safe Real-Time Navigation. ICRA Anusha Srikanthan, Yifan Xue, Vijay Kumar, Nikolai Matni, Nadia Figueroa
2025	J	`jnl`	ADMM-MCBF-LCA: A Layered Control Architecture for Safe Real-Time Navigation. CoRR Anusha Srikanthan, Yifan Xue, Vijay Kumar, Nikolai Matni, Nadia Figueroa
2025	J	`jnl`	Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy. CoRR Aditya Gahlawat, Ahmed Aboudonia, Sandeep Banik, Naira Hovakimyan, Nikolai Matni, Aaron D. Ames, Gioele Zardini, Alberto Speranzon
2025	—	`conf`	Domain Randomization is Sample Efficient for Linear Quadratic Control. L4DC Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025	J	`jnl`	Domain Randomization is Sample Efficient for Linear Quadratic Control. CoRR Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025	J	`jnl`	Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking. CoRR Farhad Nawaz, Minjun Sung, Darshan Gadginmath, Jovin D'sa, Sangjae Bae, David Isele, Nadia Figueroa, Nikolai Matni, Faizan M. Tariq
2025	—	`conf`	Learning Flatness-Preserving Residuals for Pure-Feedback Systems. CDC Fengjun Yang, Jake Welde, Nikolai Matni
2025	J	`jnl`	Learning Flatness-Preserving Residuals for Pure-Feedback Systems. CoRR Fengjun Yang, Jake Welde, Nikolai Matni
2025	—	`conf`	Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error. CDC Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni
2025	J	`jnl`	Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error. CoRR Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni
2025	—	`conf`	Logarithmic Regret for Nonlinear Control. L4DC James Wang, Bruce D. Lee, Ingvar M. Ziemann, Nikolai Matni
2025	J	`jnl`	Logarithmic Regret for Nonlinear Control. CoRR James Wang, Bruce D. Lee, Ingvar M. Ziemann, Nikolai Matni
2025	J	`jnl`	Nearly Instance-Optimal Parameter Recovery from Many Trajectories via Hellinger Localization. CoRR Eliot Shekhtman, Yichen Zhou, Ingvar M. Ziemann, Nikolai Matni, Stephen Tu
2025	J	`jnl`	Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments. CoRR Farhad Nawaz, Faizan M. Tariq, Sangjae Bae, David Isele, Avinash Singh, Nadia Figueroa, Nikolai Matni, Jovin D'sa
2025	A*	`conf`	On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning. ICML Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025	J	`jnl`	On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning. CoRR Thomas T. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025	J	`jnl`	Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation. IEEE Trans. Autom. Control. Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2025	—	`conf`	Policy Gradient for LQR with Domain Randomization. CDC Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025	J	`jnl`	Policy Gradient for LQR with Domain Randomization. CoRR Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas
2025	J	`jnl`	Quad-LCD: Layered Control Decomposition Enables Actuator-Feasible Quadrotor Trajectory Planning. CoRR Anusha Srikanthan, Hanli Zhang, Spencer Folk, Vijay Kumar, Nikolai Matni
2025	A*	`conf`	Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. AAAI Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni
2025	J	`jnl`	Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction. CoRR Omid Mirzaeedodangeh, Eliot Shekhtman, Nikolai Matni, Lars Lindemann
2025	J	`jnl`	Scalable Distributed Nonlinear Control Under Flatness-Preserving Coupling. CoRR Fengjun Yang, Jake Welde, Nikolai Matni
2025	—	`conf`	State space models, emergence, and ergodicity: How many parameters are needed for stable predictions? L4DC Ingvar M. Ziemann, Nikolai Matni, George J. Pappas
2025	A*	`conf`	Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance. ICRA Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Yuwei Wu, Yuezhan Tao, Nikolai Matni, Vijay Kumar
2024	—	`conf`	Active Learning for Control-Oriented Identification of Nonlinear Systems. CDC Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024	J	`jnl`	Active Learning for Control-Oriented Identification of Nonlinear Systems. CoRR Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024	J	`jnl`	Closed-Loop Analysis of ADMM-Based Suboptimal Linear Model Predictive Control. IEEE Control. Syst. Lett. Anusha Srikanthan, Aren Karapetyan, Vijay Kumar, Nikolai Matni
2024	J	`jnl`	Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control. CoRR Anusha Srikanthan, Aren Karapetyan, Vijay Kumar, Nikolai Matni
2024	—	`conf`	Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning. CDC Fengjun Yang, Nikolai Matni
2024	J	`jnl`	Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning. CoRR Fengjun Yang, Nikolai Matni
2024	A	`conf`	EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. WACV Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
2024	A*	`conf`	Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples. ICML Thomas T. C. K. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024	J	`jnl`	Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples. CoRR Thomas T. Zhang, Bruce D. Lee, Ingvar M. Ziemann, George J. Pappas, Nikolai Matni
2024	A*	`conf`	Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees. ICRA Farhad Nawaz, Tianyu Li, Nikolai Matni, Nadia Figueroa
2024	Misc	`conf`	Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. CoRL Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni, Davide Scaramuzza
2024	J	`jnl`	Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. CoRR Anish Bhattacharya, Marco Cannici, Nishanth Rao, Yuezhan Tao, Vijay Kumar, Nikolai Matni, Davide Scaramuzza
2024	—	`conf`	Moving Average Estimation by Geometric Optimization. CDC Alex Nguyen-Le, Nikolai Matni
2024	J	`jnl`	Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification. CoRR Bruce D. Lee, Anders Rantzer, Nikolai Matni
2024	—	`conf`	Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification. L4DC Bruce D. Lee, Anders Rantzer, Nikolai Matni
2024	A	`conf`	Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks. IROS Farhad Nawaz, Shaoting Peng, Lars Lindemann, Nadia Figueroa, Nikolai Matni
2024	J	`jnl`	Reactive Temporal Logic-based Planning and Control for Interactive Robotic Tasks. CoRR Farhad Nawaz, Shaoting Peng, Lars Lindemann, Nadia Figueroa, Nikolai Matni
2024	J	`jnl`	Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. CoRR Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
2024	J	`jnl`	Robust model predictive control with polytopic model uncertainty through System Level Synthesis. Autom. Shaoru Chen, Victor M. Preciado, Manfred Morari, Nikolai Matni
2024	A*	`conf`	Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data. ICLR Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
2024	A*	`conf`	Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss. ICML Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
2024	J	`jnl`	Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss. CoRR Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
2024	—	`conf`	Single Trajectory Conformal Prediction. CDC Brian Lee, Nikolai Matni
2024	J	`jnl`	Single Trajectory Conformal Prediction. CoRR Brian Lee, Nikolai Matni
2024	J	`jnl`	State space models, emergence, and ergodicity: How many parameters are needed for stable predictions? CoRR Ingvar M. Ziemann, Nikolai Matni, George J. Pappas
2024	J	`jnl`	Towards a Theory of Control Architecture: A quantitative framework for layered multi-rate control. CoRR Nikolai Matni, Aaron D. Ames, John C. Doyle
2024	A	`conf`	Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies. IROS Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
2024	J	`jnl`	Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies. CoRR Bo Wu, Bruce D. Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
2024	J	`jnl`	Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance. CoRR Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Nikolai Matni, Vijay Kumar
2024	J	`jnl`	Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems. CoRR Hanli Zhang, Anusha Srikanthan, Spencer Folk, Vijay Kumar, Nikolai Matni
2023	A	`conf`	A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems. IROS Anusha Srikanthan, Fengjun Yang, Igor Spasojevic, Dinesh Thakur, Vijay Kumar, Nikolai Matni
2023	J	`jnl`	A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems. CoRR Anusha Srikanthan, Fengjun Yang, Igor Spasojevic, Dinesh Thakur, Vijay Kumar, Nikolai Matni
2023	—	`conf`	A Tutorial on the Non-Asymptotic Theory of System Identification. CDC Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas
2023	J	`jnl`	A Tutorial on the Non-Asymptotic Theory of System Identification. CoRR Ingvar M. Ziemann, Anastasios Tsiamis, Bruce D. Lee, Yassir Jedra, Nikolai Matni, George J. Pappas
2023	C	`conf`	Adversarial Tradeoffs in Robust State Estimation. ACC Thomas T. C. K. Zhang, Bruce D. Lee, Hamed Hassani, Nikolai Matni
2023	J	`jnl`	Augmented Lagrangian Methods as Layered Control Architectures. CoRR Anusha Srikanthan, Vijay Kumar, Nikolai Matni
2023	J	`jnl`	Distributed and Localized Model Predictive Control - Part II: Theoretical Guarantees. IEEE Trans. Control. Netw. Syst. Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
2023	J	`jnl`	Distributed and Localized Model-Predictive Control-Part I: Synthesis and Implementation. IEEE Trans. Control. Netw. Syst. Carmen Amo Alonso, Jing Shuang Li, James Anderson, Nikolai Matni
2023	J	`jnl`	EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. CoRR Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera Ojeda, Sai Vemprala, Rogerio Bonatti, Kostas Daniilidis, Ashish Kapoor, Vijay Kumar, Nikolai Matni, Jayesh K. Gupta
2023	J	`jnl`	Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations. CoRR Farhad Nawaz, Tianyu Li, Nikolai Matni, Nadia Figueroa
2023	—	`ed.`	Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. L4DC Nikolai Matni, Manfred Morari, George J. Pappas
2023	—	`conf`	Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. L4DC Kong Yao Chee, M. Ani Hsieh, Nikolai Matni
2023	J	`jnl`	Meta-Learning Operators to Optimality from Multi-Task Non-IID Data. CoRR Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
2023	—	`conf`	Multi-Task Imitation Learning for Linear Dynamical Systems. L4DC Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
2023	J	`jnl`	Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation. CoRR Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2023	J	`jnl`	Risk of Stochastic Systems for Temporal Logic Specifications. ACM Trans. Embed. Comput. Syst. Lars Lindemann, Lejun Jiang, Nikolai Matni, George J. Pappas
2023	—	`conf`	Safety Filter Design for Neural Network Systems via Convex Optimization. CDC Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
2023	J	`jnl`	Safety Filter Design for Neural Network Systems via Convex Optimization. CoRR Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
2023	—	`conf`	The Fundamental Limitations of Learning Linear-Quadratic Regulators. CDC Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
2023	J	`jnl`	The Fundamental Limitations of Learning Linear-Quadratic Regulators. CoRR Bruce D. Lee, Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
2023	A*	`conf`	The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. ICML Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
2023	J	`jnl`	The Power of Learned Locally Linear Models for Nonlinear Policy Optimization. CoRR Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu
2023	A*	`conf`	The noise level in linear regression with dependent data. NeurIPS Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
2023	J	`jnl`	The noise level in linear regression with dependent data. CoRR Ingvar M. Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni
2023	—	`conf`	Toward Certified Robustness Against Real-World Distribution Shifts. SaTML Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett
2023	A*	`conf`	Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. ICRA David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley
2022	—	`conf`	Adversarially Robust Stability Certificates can be Sample-Efficient. L4DC Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni
2022	—	`conf`	Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. CDC Fengjun Yang, Fernando Gama, Somayeh Sojoudi, Nikolai Matni
2022	J	`jnl`	Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. CoRR Fengjun Yang, Fernando Gama, Somayeh Sojoudi, Nikolai Matni
2022	J	`jnl`	Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. CoRR Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson
2022	—	`conf`	Generalization Bounded Implicit Learning of Nearly Discontinuous Functions. L4DC Bibit Bianchini, Mathew Halm, Nikolai Matni, Michael Posa
2022	—	`conf`	How are policy gradient methods affected by the limits of control? CDC Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
2022	J	`jnl`	How are policy gradient methods affected by the limits of control? CoRR Ingvar M. Ziemann, Anastasios Tsiamis, Henrik Sandberg, Nikolai Matni
2022	A*	`conf`	Learning to Control Linear Systems can be Hard. COLT Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas
2022	J	`jnl`	Learning to Control Linear Systems can be Hard. CoRR Anastasios Tsiamis, Ingvar M. Ziemann, Manfred Morari, Nikolai Matni, George J. Pappas
2022	J	`jnl`	Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. CoRR Kong Yao Chee, M. Ani Hsieh, Nikolai Matni
2022	J	`jnl`	Linear Variational State Space Filtering. CoRR Daniel Pfrommer, Nikolai Matni
2022	J	`jnl`	Multi-Task Imitation Learning for Linear Dynamical Systems. CoRR Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni
2022	—	`conf`	On the Sample Complexity of Stability Constrained Imitation Learning. L4DC Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni
2022	—	`conf`	Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. CDC Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022	J	`jnl`	Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. CoRR Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022	J	`jnl`	Risk of Stochastic Systems for Temporal Logic Specifications. CoRR Lars Lindemann, Lejun Jiang, Nikolai Matni, George J. Pappas
2022	—	`conf`	Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis. CDC Shaoru Chen, Ning-Yuan Li, Victor M. Preciado, Nikolai Matni
2022	J	`jnl`	Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis. CoRR Shaoru Chen, Ning-Yuan Li, Victor M. Preciado, Nikolai Matni
2022	J	`jnl`	Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis. CoRR Shaoru Chen, Victor M. Preciado, Manfred Morari, Nikolai Matni
2022	A*	`conf`	Single Trajectory Nonparametric Learning of Nonlinear Dynamics. COLT Ingvar M. Ziemann, Henrik Sandberg, Nikolai Matni
2022	J	`jnl`	Single Trajectory Nonparametric Learning of Nonlinear Dynamics. CoRR Ingvar M. Ziemann, Henrik Sandberg, Nikolai Matni
2022	J	`jnl`	Statistical Learning Theory for Control: A Finite Sample Perspective. CoRR Anastasios Tsiamis, Ingvar M. Ziemann, Nikolai Matni, George J. Pappas
2022	A*	`conf`	TaSIL: Taylor Series Imitation Learning. NeurIPS Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
2022	J	`jnl`	TaSIL: Taylor Series Imitation Learning. CoRR Daniel Pfrommer, Thomas T. C. K. Zhang, Stephen Tu, Nikolai Matni
2022	J	`jnl`	Toward Certified Robustness Against Real-World Distribution Shifts. CoRR Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett
2022	A*	`conf`	Uncertainty-driven Planner for Exploration and Navigation. ICRA Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2022	J	`jnl`	Uncertainty-driven Planner for Exploration and Navigation. CoRR Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2022	J	`jnl`	Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. CoRR David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jake Varley
2021	J	`jnl`	Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation. CoRR Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2021	J	`jnl`	Adversarially Robust Stability Certificates can be Sample-Efficient. CoRR Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni
2021	A	`conf`	An Adversarial Objective for Scalable Exploration. IROS Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2021	J	`jnl`	Closing the Closed-Loop Distribution Shift in Safe Imitation Learning. CoRR Stephen Tu, Alexander Robey, Nikolai Matni
2021	J	`jnl`	Communication Topology Co-Design in Graph Recurrent Neural Network Based Distributed Control. CoRR Fengjun Yang, Nikolai Matni
2021	—	`conf`	Communication Topology Co-Design in Graph Recurrent Neural Network based Distributed Control. CDC Fengjun Yang, Nikolai Matni
2021	—	`conf`	Data-Driven System Level Synthesis. L4DC Anton Xue, Nikolai Matni
2021	J	`jnl`	Data-driven Distributed and Localized Model Predictive Control. CoRR Carmen Amo Alonso, Fengjun Yang, Nikolai Matni
2021	J	`jnl`	Generalization Bounded Implicit Learning of Nearly Discontinuous Functions. CoRR Bibit Bianchini, Mathew Halm, Nikolai Matni, Michael Posa
2021	—	`conf`	How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman
2021	J	`jnl`	How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? CoRR Jingxi Xu, Bruce D. Lee, Nikolai Matni, Dinesh Jayaraman
2021	—	`conf`	Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. ADHS Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni
2021	J	`jnl`	Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. CoRR Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni
2021	J	`jnl`	Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations. CoRR Lars Lindemann, Alexander Robey, Lejun Jiang, Stephen Tu, Nikolai Matni
2021	—	`conf`	STL Robustness Risk over Discrete-Time Stochastic Processes. CDC Lars Lindemann, Nikolai Matni, George J. Pappas
2021	J	`jnl`	STL Robustness Risk over Discrete-Time Stochastic Processes. CoRR Lars Lindemann, Nikolai Matni, George J. Pappas
2021	J	`jnl`	System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation. CoRR Shaoru Chen, Nikolai Matni, Manfred Morari, Victor M. Preciado
2020	J	`jnl`	Action for Better Prediction. CoRR Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis
2020	J	`jnl`	Data-Driven System Level Synthesis. CoRR Anton Xue, Nikolai Matni
2020	—	`conf`	Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis. CDC Carmen Amo Alonso, Nikolai Matni
2020	J	`jnl`	Efficient Learning of Distributed Linear-Quadratic Control Policies. SIAM J. Control. Optim. Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2020	J	`jnl`	Evaluating Robust, Perception Based Control with Quadrotors. CoRR Laura Jarin-Lipschitz, Rebecca Li, Ty Nguyen, Vijay Kumar, Nikolai Matni
2020	—	`conf`	Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CDC Carmen Amo Alonso, Nikolai Matni, James Anderson
2020	J	`jnl`	Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR Carmen Amo Alonso, Nikolai Matni, James Anderson
2020	—	`conf`	Learning Control Barrier Functions from Expert Demonstrations. CDC Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	J	`jnl`	Learning Control Barrier Functions from Expert Demonstrations. CoRR Alexander Robey, Haimin Hu, Lars Lindemann, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	Misc	`conf`	Learning Hybrid Control Barrier Functions from Data. CoRL Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	J	`jnl`	Learning Hybrid Control Barrier Functions from Data. CoRR Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni
2020	Misc	`conf`	Learning Stability Certificates from Data. CoRL Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani
2020	J	`jnl`	Learning Stability Certificates from Data. CoRR Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani
2020	J	`jnl`	On the Sample Complexity of the Linear Quadratic Regulator. Found. Comput. Math. Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2020	A*	`conf`	PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. ICLR Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee
2020	J	`jnl`	PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. CoRR Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee
2020	—	`conf`	Robust Closed-loop Model Predictive Control via System Level Synthesis. CDC Shaoru Chen, Han Wang, Manfred Morari, Victor M. Preciado, Nikolai Matni
2020	—	`conf`	Robust Guarantees for Perception-Based Control. L4DC Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
2020	C	`conf`	Robust Performance Guarantees for System Level Synthesis. ACC Nikolai Matni, Anish A. Sarma
2020	A	`conf`	Robust, Perception Based Control with Quadrotors. IROS Laura Jarin-Lipschitz, Rebecca Li, Ty Nguyen, Vijay Kumar, Nikolai Matni
2020	—	`conf`	Sample Complexity of Kalman Filtering for Unknown Systems. L4DC Anastasios Tsiamis, Nikolai Matni, George J. Pappas
2020	C	`conf`	The driver and the engineer: Reinforcement learning and robust control. ACC Natalie Bernat, Jiexin Chen, Nikolai Matni, John Doyle
2019	J	`jnl`	A System-Level Approach to Controller Synthesis. IEEE Trans. Autom. Control. Yuh-Shyang Wang, Nikolai Matni, John C. Doyle
2019	—	`conf`	A Tutorial on Concentration Bounds for System Identification. CDC Nikolai Matni, Stephen Tu
2019	J	`jnl`	A Tutorial on Concentration Bounds for System Identification. CoRR Nikolai Matni, Stephen Tu
2019	J	`jnl`	Distributed and Localized Model Predictive Control via System Level Synthesis. CoRR Carmen Amo Alonso, Nikolai Matni
2019	J	`jnl`	Efficient Learning of Distributed Linear-Quadratic Controllers. CoRR Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2019	—	`conf`	From self-tuning regulators to reinforcement learning and back again. CDC Nikolai Matni, Alexandre Proutière, Anders Rantzer, Stephen Tu
2019	J	`jnl`	From self-tuning regulators to reinforcement learning and back again. CoRR Nikolai Matni, Alexandre Proutière, Anders Rantzer, Stephen Tu
2019	—	`conf`	Learning Sparse Dynamical Systems from a Single Sample Trajectory. CDC Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2019	J	`jnl`	Learning Sparse Dynamical Systems from a Single Sample Trajectory. CoRR Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2019	J	`jnl`	Robust Guarantees for Perception-Based Control. CoRR Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
2019	C	`conf`	Safely Learning to Control the Constrained Linear Quadratic Regulator. ACC Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht
2019	J	`jnl`	Sample Complexity of Kalman Filtering for Unknown Systems. CoRR Anastasios Tsiamis, Nikolai Matni, George J. Pappas
2019	J	`jnl`	Sparsity Preserving Discretization With Error Bounds. CoRR James Anderson, Nikolai Matni, Yuxiao Chen
2019	J	`jnl`	System Level Synthesis. CoRR James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni
2019	J	`jnl`	System level synthesis. Annu. Rev. Control. James Anderson, John C. Doyle, Steven H. Low, Nikolai Matni
2018	J	`jnl`	A Control-Theoretic Approach to In-Network Congestion Management. IEEE/ACM Trans. Netw. Ning Wu, Yingjie Bi, Nithin Michael, Ao Tang, John C. Doyle, Nikolai Matni
2018	—	`conf`	Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System. CDC Ross Boczar, Nikolai Matni, Benjamin Recht
2018	J	`jnl`	Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System. CoRR Ross Boczar, Nikolai Matni, Benjamin Recht
2018	C	`conf`	Passive-Aggressive Learning and Control. ACC Dimitar Ho, Nikolai Matni, John C. Doyle
2018	A*	`conf`	Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. NeurIPS Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2018	J	`jnl`	Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. CoRR Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2018	J	`jnl`	Safely Learning to Control the Constrained Linear Quadratic Regulator. CoRR Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht
2018	J	`jnl`	Separable and Localized System-Level Synthesis for Large-Scale Systems. IEEE Trans. Autom. Control. Yuh-Shyang Wang, Nikolai Matni, John C. Doyle
2017	J	`jnl`	Communication Delay Co-Design in ℋ IEEE Trans. Control. Netw. Syst. Nikolai Matni
2017	—	`conf`	HFTraC: High-Frequency Traffic Control. SIGMETRICS (Abstracts) Ning Wu, Yingjie Bi, Nithin Michael, Ao Tang, John Doyle, Nikolai Matni
2017	J	`jnl`	On the Sample Complexity of the Linear Quadratic Regulator. CoRR Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2017	C	`conf`	Optimal zero-queue congestion control using ADMM. ACC Nikolai Matni
2017	—	`conf`	Scalable system level synthesis for virtually localizable systems. CDC Nikolai Matni, Yuh-Shyang Wang, James Anderson
2017	J	`jnl`	Separable and Localized System Level Synthesis for Large-Scale Systems. CoRR Yuh Shyang Wang, Nikolai Matni, John C. Doyle
2017	—	`conf`	Structured state space realizations for SLS distributed controllers. Allerton James Anderson, Nikolai Matni
2017	C	`conf`	System Level Parameterizations, constraints and synthesis. ACC Yuh Shyang Wang, Nikolai Matni, John C. Doyle
2017	—	`conf`	System level synthesis: A tutorial. CDC John C. Doyle, Nikolai Matni, Yuh Shyang Wang, James Anderson, Steven H. Low
2016	J	`jnl`	A System Level Approach to Controller Synthesis. CoRR Yuh Shyang Wang, Nikolai Matni, John C. Doyle
2016	C	`conf`	A Theory of dynamics, control and optimization in layered architectures. ACC Nikolai Matni, John C. Doyle
2016	C	`conf`	Localized LQG optimal control for large-scale systems. ACC Yuh Shyang Wang, Nikolai Matni
2016	C	`conf`	Localized LQR control with actuator regularization. ACC Yuh Shyang Wang, Nikolai Matni, John C. Doyle
2016	J	`jnl`	Regularization for Design. IEEE Trans. Autom. Control. Nikolai Matni, Venkat Chandrasekaran
2016	—	`conf`	Teaching control theory in high school. CDC John Doyle, Yorie Nakahira, Yoke Peng Leong, Emily Jenson, Adam Dai, Dimitar Ho, Nikolai Matni
2015	J	`jnl`	A Convex Approach to Sparse H infinity Analysis & Synthesis. CoRR Seungil You, Nikolai Matni
2015	—	`conf`	A case study in network architecture tradeoffs. SOSR Nikolai Matni, Ao Tang, John C. Doyle
2015	—	`conf`	A convex approach to sparse ℋ∞ analysis & synthesis. CDC Seungil You, Nikolai Matni
2015	—	`conf`	Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control. CDC Yorie Nakahira, Nikolai Matni, John C. Doyle
2014	—	`conf`	A convex approach to consensus on SO(n). Allerton Nikolai Matni, Matanya B. Horowitz
2014	J	`jnl`	Communication Delay Co-Design in $\mathcal{H}_2$ Distributed Control Using Atomic Norm Minimization. CoRR Nikolai Matni
2014	J	`jnl`	Convex Relaxations of SE(2) and SE(3) for Visual Pose Estimation. CoRR Matanya B. Horowitz, Nikolai Matni, Joel W. Burdick
2014	A*	`conf`	Convex relaxations of SE(2) and SE(3) for visual pose estimation. ICRA Matanya B. Horowitz, Nikolai Matni, Joel W. Burdick
2014	—	`conf`	Distributed control subject to delays satisfying an ℋ1 norm bound. CDC Nikolai Matni
2014	J	`jnl`	Localized LQR Optimal Control. CoRR Yuh Shyang Wang, Nikolai Matni, John C. Doyle
2014	—	`conf`	Localized LQR optimal control. CDC Yuh Shyang Wang, Nikolai Matni, John C. Doyle
2014	—	`conf`	Localized distributed optimal control with output feedback and communication delays. Allerton Yuh-Shyan Wang, Nikolai Matni
2014	C	`conf`	Localized distributed state feedback control with communication delays. ACC Yuh Shyang Wang, Nikolai Matni, Seungil You, John C. Doyle
2014	J	`jnl`	Low-Rank and Low-Order Decompositions for Local System Identification. CoRR Nikolai Matni, Anders Rantzer
2014	J	`jnl`	Optimal Two Player LQR State Feedback With Varying Delay. CoRR Nikolai Matni, Andrew G. Lamperski, John C. Doyle
2014	J	`jnl`	Regularization for Design. CoRR Nikolai Matni, Venkat Chandrasekaran
2014	—	`conf`	Regularization for design. CDC Nikolai Matni, Venkat Chandrasekaran
2014	—	`conf`	Resilience in Large Scale Distributed Systems. CSER Nikolai Matni, Yoke Peng Leong, Yuh Shyang Wang, Seungil You, Matanya B. Horowitz, John C. Doyle
2014	—	`conf`	Synthesizing combination therapies for evolutionary dynamics of disease for nonlinear pharmacodynamics. CDC Vanessa Jonsson, Nikolai Matni, Richard M. Murray
2013	C	`conf`	A dual problem in ℌ2 decentralized control subject to delays. ACC Nikolai Matni, John C. Doyle
2013	C	`conf`	A heuristic for sub-optimal ℌ2 decentralized control subject to delay in non-quadratically-invariant systems. ACC Nikolai Matni, John C. Doyle
2013	—	`conf`	Communication delay co-design in ℌ2 decentralized control Using atomic norm minimization. CDC Nikolai Matni
2013	—	`conf`	Optimal distributed LQG state feedback with varying communication delay. CDC Nikolai Matni, John C. Doyle
2013	—	`conf`	Reverse engineering combination therapies for evolutionary dynamics of disease: An ℌ∞ approach. CDC Vanessa Jonsson, Nikolai Matni, Richard M. Murray
2012	—	`conf`	A projection framework for near-potential polynomial games. CDC Nikolai Matni
2011	C	`conf`	Stability of switched block upper-triangular linear systems with switching delay: Application to large distributed systems. ACC Nikolai Matni, Meeko Oishi
2009	—	`conf`	Reachability analysis for continuous systems under shared control: Application to user-interface design. CDC Nikolai Matni, Meeko Oishi
2008	C	`conf`	Reachability-based abstraction for an aircraft landing under shared control. ACC Nikolai Matni, Meeko Oishi
2008	—	`conf`	Towards Provably Safe Control for Smart Wheelchairs. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems Meeko Oishi, Nikolai Matni